Russia Youth Championship AI predictions
Follow Youth Championship with daily model picks, the live standings and this season's numbers.
Our model has studied 17 matches in Russia Youth Championship so far this season. The home side has taken 59% of them, 59% have produced goals at both ends, and the average match has brought 3.82 goals. Each Youth Championship pick below is logged publicly and graded once the final whistle goes. CSKA Moscow U19 sit top on 55 points after 25 matches.
Goals are flowing in Russia Youth Championship: 76% of games have gone over 2.5, with an average of 3.82 per match. Playing at home matters in Russia Youth Championship, where home teams have won 59% of games.
Youth Championship season in numbers
Next Youth Championship fixtures, with picks
The upcoming Youth Championship fixtures don't have picks yet — please look in again soon.
Youth Championship results, graded
Rubin Kazan U192
Krasnodar U194
Rostov U191
Almaz Antey U192
Zenit U193
Spartak M2
Krasnodar U193
Lokomotiv0
Chertanov4
Dinamo M2
Rodina M2
Nizhny N1
Akademiya2
Rubin Kazan U190
CSKA Moscow U196
Fakel U191
Ural U190
Dynamo M1
Dinamo M2
CSKA Moscow U194
Spartak M0
Krasnodar U190
Dynamo M1
Zenit U192See all Youth Championship picks
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Questions and answers
Are any Youth Championship picks free?
Every matchday includes free Youth Championship picks. BananaGoal Premium adds all remaining upcoming picks, complete odds and the daily accumulator.
What is your hit rate on Youth Championship?
Look at the record: each Youth Championship pick gets a won or lost grade after the final whistle and is never removed, so you can measure our accuracy before subscribing.
What will I find on the Youth Championship page?
Four picks per Youth Championship match: the 1X2 outcome, over/under, BTTS and our best tip, each shown with the chance the model gives it. This season in Russia Youth Championship: over 2.5 goals in 76% of games, 6% draws, 35% away wins.
What goes into your Youth Championship predictions?
Data, not opinions. Head-to-head results, injuries, recent form and expected goals go into a machine-learning model, which rates every Youth Championship match and publishes its picks automatically, with no human choosing them.





















